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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…<p dir="ltr">Particle Swarm Optimization (PSO) is a metaheuristic evolutionary computation technique inspired by the social behavior of birds and fish flock. …”
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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection
Published 2024“…<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. …”
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Strain response of hot-mix asphalt overlays for bottom-up reflective cracking
Published 2017Get full text
Get full text
Get full text
Get full text
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”
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CFD Study of Particle Concentration and Stokes Number Effect on Erosion Profile.
Published 2017Get full text
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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
Published 2022“…Specifically, our numerical results highlight the effectiveness of our approach and its ability to provide 4–6% increase in the classification accuracy, with respect to hierarchical FL schemes that consider distance-based user assignment. …”
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Noise2Weight: On detecting payload weight from drones acoustic emissions
Published 2022“…<p>The increasing popularity of autonomous and remotely-piloted drones has paved the way for several use-cases and application scenarios, including merchandise delivery, surveillance, and warfare, to cite a few. …”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…Processing similar features that provide redundant information increases the computational time, which is a critical problem especially for users with constrained resources (battery, energy). …”
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A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures
Published 2024“…<p dir="ltr">In recent years, there has been a significant advancement in memristor-based neural networks, positioning them as a pivotal processing-in-memory deployment architecture for a wide array of deep learning applications. …”